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Chain-of-Thought Deep Dive Prompt Engineering Advanced Chain-of-Thought (CoT) is not just about adding 'Let's think step by step'. This article deeply analyzes the working mechanism, variant strategies, and cutting-edge progress of CoT from three dimensions: cognitive science, information theory, and engineering practice, helping you truly understand the essence of AI reasoning. 2026-07 ·20 min read Structured Output and JSON Mode in Practice Prompt Engineering Advanced In production environments, unstructured output from AI is difficult to use directly. This article provides an in-depth explanation of how to make large models output structured data, including JSON Schema constraints, Pydantic integration, and best practices for structured output. 2025-05 ·14 min read Prompt Security and Injection Defense Prompt Engineering Advanced Prompt injection is the primary security threat to AI applications. Attackers can bypass system instructions, steal sensitive information, and induce malicious behavior through carefully crafted inputs. This article explains in depth the attack vectors, detection methods, and defense strategies of prompt injection to help you build secure AI applications. 2026-07 ·17 min read Prompt Injection Defense and Security Hardening Prompt Engineering Advanced Prompt injection is the number one security threat facing large model applications. This article provides an in-depth analysis of various injection attack principles and offers systematic defense strategies, including input filtering, output validation, sandbox isolation, and permission control. 2025-07 ·17 min read

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